Mark Barszczyk

2k citations
13 papers · 1.7k · 2 hit papers · h-index 9

Impact in

Papers in

    • Glioma Diagnosis and Treatment 7
    • Cancer, Hypoxia, and Metabolism 1
    • Protease and Inhibitor Mechanisms 1

Mark Barszczyk

13 papers receiving 1.6k citations

Mark Barszczyk's Hit Papers

Epigenomic alterations define lethal CIMP-positive ependymomas of infancy 2014 · 492 citations
4920+4+8Years since publication100200300400500

Peers

Mark Barszczyk
Comparison fields: 5 of 49
  • Genetics 1.1k
  • Cancer Research 148
  • Molecular Biology 393
  • Oncology 82
  • Physiology 83
Replace Noha Gerges with:
Noha Gerges Canada
Troy A. McEachron United States
Dianna C. Martin Canada
Saoussen Trabelsi Tunisia
Carlos Clara Brazil
Patrick Sin‐Chan Canada
Huishan Zhu China
Lee H. Chen United States
Frank Dicker Germany
Carlos María Romeo-Casabona Spain
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Citations per field
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Citations per year

Countries citing papers authored by Mark Barszczyk

Since Specialization
Citations

This map shows the geographic impact of Mark Barszczyk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Barszczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Barszczyk more than expected).

Fields of papers citing papers by Mark Barszczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Barszczyk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Barszczyk. The network helps show where Mark Barszczyk may publish in the future.

Co-authors

The 11 scholars most cited alongside Mark Barszczyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Barszczyk Line = papers co-authored together Mark Barszczyk links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Genomic analysis of diffuse intrinsic pontine gliomas identifies three molecular subgroups and recurrent activating ACVR1 mutations
Hit paper breakdown →
2014515
2
Epigenomic alterations define lethal CIMP-positive ependymomas of infancy
Hit paper breakdown →
2014492
3 2016204
4 2013138
5 2014128
6 201463
7 201440
8 201539
9 201428
10 20133
11 20122
12 20151
13 20241

About Mark Barszczyk

Mark Barszczyk is a scholar working on Genetics, Cancer Research, Physiology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Telomeres, Telomerase, and Senescence (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Protease and Inhibitor Mechanisms (1 paper), Trauma Management and Diagnosis (1 paper), Chromatin Remodeling and Cancer (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (1.1k citations), Cancer Research (148 citations), Molecular Biology (393 citations), Oncology (82 citations) and Physiology (83 citations). Mark Barszczyk has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Navneet Singh, Nicole J. Look Hong, Alex Kiss, Anna E. H. Zavodni, Sonal Gandhi, Belinda N. Curpen, Sharon Nofech‐Mozes, Naomi Matsuura, Alexander Bilbily and Anne Louise Martel. Their work appears in journals such as Acta Neuropathologica, Neuro-Oncology, Clinical Cancer Research, Nature Genetics and Cancer Discovery.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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